Unit | Biostatistics
The Biostatistics unit engages in collaborative, basic and applied statistical research in the fields of epidemiology, parasitology and infection biology. Primary areas of applications involve malaria, anaemia, neglected diseases, HIV, mortality, cancer and environmental epidemiology. Research is mainly funded by Swiss National Foundation (SNSF), Bill and Melinda Gates Foundation (BMGF) and a European research Council (ERC) Advance Grant.
Major areas of methodological research
- Spatio-temporal modelling for disease burden estimation and surveillance
- Diagnostic error evaluation
- Cohort data modelling
- Exposure modelling
- Causal inference
- Meta analysis
- Bayesian computation
The unit leads Swiss TPH's scientific support services. This service is provided in collaboration with the Public Health Computing group and includes consulting for study design, data management support, statistical analysis, consulting in the fields of biomathematics and bioinformatics, and software development. Clients come from within Swiss TPH and externally.
The unit is also heavily engaged in teaching Statistics and Epidemiology to medical undergraduates, MSc students and PhD students, both in curricular courses of the University of Basel and in external courses. The Unit is involved in Swiss Master of Public Health Programme, European Course in Tropical Epidemiology and Postgraduate Programme for University Professionals in Insurance Medicine.
Statistics and Epidemiology Teaching
Statistics and epidemiology teaching is provided within the programs of the University of Basel. Within this program we organise the following courses:
- Biostatistics (Lecture number 28893-01)
- Statistical Modelling (Lecture number 28887-01)
- Bayesian Biostatistics (Lecture number 12385-01)
- Biostatistics Journal Club (Lecture number 41885-01)
- Programming in Stata (Lecture number 28879-1)
- Data Analysis in Epidemiology (Lecture number 28878-01)
We also teach on the following courses:
- Health Care and Management in Tropical Countries (HCMTC) This is an annual three-month diploma course accredited by TropEd for the degree of Master of International Health.
- Bayesian Disease Mapping in Epidemiology and Public Health, a course for researchers dealing with spatial data in epidemiology and public health.
Selected ProjectsAll Projects
Latest PublicationsAll Publications
Beloconi A et al. Malaria, climate variability, and interventions: modelling transmission dynamics. Sci Rep. 2023;13(1):7367. DOI: 10.1038/s41598-023-33868-8
Gomes N.V et al. Discrepancy in reporting of perioperative complications: a retrospective observational study. Ann Surg. 2023(in press). DOI: 10.1097/SLA.0000000000005807
Hetzel M.W et al. Pre-referral rectal artesunate is no "magic bullet" in weak health systems. BMC Med. 2023;21:119. DOI: 10.1186/s12916-023-02777-y
Loiseau C et al. The relative transmission fitness of multidrug-resistant Mycobacterium tuberculosis in a drug resistance hotspot. Nat Commun. 2023;14:1988. DOI: 10.1038/s41467-023-37719-y
Mbuba E et al. Multi-country evaluation of the durability of pyrethroid plus piperonyl-butoxide insecticide-treated nets: study protocol. Malar J. 2023;22:30. DOI: 10.1186/s12936-023-04465-x